AVERT: An autonomous multi-robot system for vehicle extraction and transportation

This paper presents a multi-robot system for autonomous vehicle extraction and transportation based on the “a-robot-for-a-wheel” concept. The developed prototype is able to extract vehicles from confined spaces with delicate handling, swiftly and in any direction. The novel lifting robots are capable of omnidirectional movement, thus they can under-ride the desired vehicle and dock to its wheels for a synchronized lifting and extraction. The overall developed system applies reasoning about available trajectory paths, wheel identification, local and undercarriage obstacle detection, in order to fully automate the process. The validity and efficiency of the AVERT robotic system is illustrated via experiments in an indoor parking lot, demonstrating successful autonomous navigation, docking, lifting and transportation of a conventional vehicle.

[1]  Sven Koenig,et al.  Incremental A* , 2001, NIPS.

[2]  Nico Blodow,et al.  Fast Point Feature Histograms (FPFH) for 3D registration , 2009, 2009 IEEE International Conference on Robotics and Automation.

[3]  Andrea Censi,et al.  An ICP variant using a point-to-line metric , 2008, 2008 IEEE International Conference on Robotics and Automation.

[4]  Stergios I. Roumeliotis,et al.  A Multi-Objective Exploration Strategy for Mobile Robots Under Operational Constraints , 2013, IEEE Access.

[5]  Kazuhiro Kosuge,et al.  A car transportation system by multiple mobile robots - iCART - , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[6]  Richard May,et al.  The AVERT project: Autonomous Vehicle Emergency Recovery Tool , 2013, 2013 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR).

[7]  Anton Gfrerrer Geometry and kinematics of the Mecanum wheel , 2008, Comput. Aided Geom. Des..

[8]  Kazuhiro Kosuge,et al.  A coordinated control algorithm based on the caster-like motion for a car transportation system -iCART- , 2009, 2009 IEEE International Conference on Robotics and Automation.

[9]  Antonios Gasteratos,et al.  3D Maps Registration and Path Planning for Autonomous Robot Navigation , 2013, ArXiv.

[10]  Gérard G. Medioni,et al.  Object modelling by registration of multiple range images , 1992, Image Vis. Comput..

[11]  Kazuhiro Kosuge,et al.  A car transportation system using multiple mobile robots: iCART II , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[12]  Nico Blodow,et al.  Towards 3D Point cloud based object maps for household environments , 2008, Robotics Auton. Syst..

[13]  Anthony Stentz,et al.  The Focussed D* Algorithm for Real-Time Replanning , 1995, IJCAI.

[14]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..